Introduction of my storyboard

Welcome to my storyboard for the computational musicology course. With this course 1 made 2 songs. I created these songs using the generative AI tool Stable Audio. I simply wrote a short prompt for each track to guide the style and mood.

Track 1
Prompt:

3 minutes Pixelwave, jazz fusion, retro 8-bit melodies, smooth synths, glitch effects, complex rhythms, futuristic vibes, melodic improvisation, digital textures, ambient soundscapes, quirky transitions

Track 2
Prompt:

Classical Grunge, raw grunge guitar, symphonic strings, orchestral arrangements, distorted power chords, melancholic melodies, classical structure, gritty atmosphere, dynamic contrast, emotional intensity.

Visualisation of the corpus features

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This heatmap shows the normalized values of different features for 90 songs. Each tile’s color represents the scaled value (from 0 to 1) of a feature, making comparisons fair even when the original numbers differ a lot. Hover over a tile to see the real value. My tracks, “mees-k-1” and “mees-k-2”, are highlighted in red.

Conclusion

In conclusion, there is significant variance among the tracks produced by my peers. I look forward to sharing more detailed visualizations and insights as I continue exploring these musical features.